Results 41 to 50 of about 27,731,435 (252)

Bayesian causal discovery for policy decision making

open access: yesData & Policy
This paper demonstrates how learning the structure of a Bayesian network, often used to predict and represent causal pathways, can be used to inform policy decision-making.
Catarina Moreira   +6 more
doaj   +1 more source

Causal Effects of Body Mass Index and Maternal Age on Oocyte Maturation in Assisted Reproductive Technology: Model-Average Causal Effect and Bayesian LASSO Method

open access: yesIranian Journal of Public Health, 2020
Background: Body Mass Index (BMI) and maternal age are related to various disorders of the female reproductive system. This study aimed to estimate the causal effects of BMI and maternal age on the rate of metaphase II oocytes (MII) using a new ...
Ahad ALIZADEH   +4 more
doaj   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo   +9 more
wiley   +1 more source

The association of maternal smoking around birth with chronic respiratory diseases in adult offspring: A Mendelian randomization study

open access: yesTobacco Induced Diseases
Introduction Maternal smoking during pregnancy disturbs fetal lung development, and induces in their offspring childhood respiratory diseases. Whether it has a continued impact on offspring adult lung health and exerts a casual effect of chronic ...
Yun-Xia Huo   +3 more
doaj   +1 more source

Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates

open access: yesEntropy, 2020
Estimating the effects of an intervention from high-dimensional observational data is a challenging problem due to the existence of confounding. The task is often further complicated in healthcare applications where a set of observations may be entirely ...
Sonali Parbhoo   +3 more
doaj   +1 more source

Causal effect of video gaming on mental well-being in Japan 2020–2022

open access: yesNature Human Behaviour
The widespread use of video games has raised concerns about their potential negative impact on mental well-being. Nevertheless, the empirical evidence supporting this notion is largely based on correlational studies, warranting further investigation into
H. Egami   +4 more
semanticscholar   +1 more source

Adversarial balancing-based representation learning for causal effect inference with observational data [PDF]

open access: yesData mining and knowledge discovery, 2019
Learning causal effects from observational data greatly benefits a variety of domains such as health care, education, and sociology. For instance, one could estimate the impact of a new drug on specific individuals to assist clinical planning and improve
Xin Du   +4 more
semanticscholar   +1 more source

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine   +17 more
wiley   +1 more source

Association between sleep-related phenotypes and gut microbiota: a two-sample bidirectional Mendelian randomization study

open access: yesFrontiers in Microbiology
BackgroundAn increasing body of evidence suggests a profound interrelation between the microbiome and sleep-related concerns. Nevertheless, current observational studies can merely establish their correlation, leaving causality unexplored.Study ...
Xiaoqiu Wang   +5 more
doaj   +1 more source

Bayesian Diallel Analysis Reveals Mx1-Dependent and Mx1-Independent Effects on Response to Influenza A Virus in Mice

open access: yesG3: Genes, Genomes, Genetics, 2018
Influenza A virus (IAV) is a respiratory pathogen that causes substantial morbidity and mortality during both seasonal and pandemic outbreaks. Infection outcomes in unexposed populations are affected by host genetics, but the host genetic architecture is
Paul L. Maurizio   +15 more
doaj   +1 more source

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